Reports Summarize Risk Management Findings from University of Macau (Diversification and Efficiency of Life Insurers In China and India)

2020 AUG 26 (NewsRx) -- By a News Reporter-Staff News Editor at Insurance Daily News -- Researchers detail new data in Risk Management. According to news reporting from Macao, People’s Republic of China, by NewsRx journalists, research stated, “China and India are the world’s most populous and rapidly developing countries and are often discussed together. We examine life insurance firms in these two countries between 2008 and 2016 using a game cross-efficiency model, which comparatively measures insurers’ performance using Nash equilibrium weights.”

Financial supporters for this research include University of Macau, Science and Technology Development Fund, Macau SAR.

The news correspondents obtained a quote from the research from the University of Macau, “We investigate whether there is an optimal business model for three business dimensions: assets, funding and income. From our second-stage regressions we conclude that strategic focus is superior in terms of assets and income to diversification at the insurer level. At the capital market and economic levels, economic development, unemployment, stock market development and other variables are also important.”

According to the news reporters, the research concluded: “Our study provides useful insights into how a business model can be made more efficient in large emerging markets.”

For more information on this research see: Diversification and Efficiency of Life Insurers In China and India. The Geneva Papers on Risk and Insurance Issues and Practice, 2020;():. The Geneva Papers on Risk and Insurance Issues and Practice can be contacted at: Palgrave Macmillan Ltd, Brunel Rd Bldg, Houndmills, Basingstoke RG21 6XS, Hants, England.

Our news journalists report that additional information may be obtained by contacting Zhaotong Lian, University of Macau, Faculty of Business Administration, E22, Ave Univ, Taipa, Macao, People’s Republic of China.

The direct object identifier (DOI) for that additional information is: https://doi.org/10.1057/s41288-020-00181-8. This DOI is a link to an online electronic document that is either free or for purchase, and can be your direct source for a journal article and its citation.

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